Systems & Networks · Computer Science & AI
Databases
The newest papers in Databases that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
202 papers, from 31 August 2026 to 5 November 2026: 170 arXiv preprints and 32 OpenAlex records.
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From Version Conflicts to Decision Conflicts: Selective Revalidation for Long-Running AI Agents
Long-running AI agents may read state, reason, wait for tools or human approval, and perform an external action much later.ProcArena: A Multi-Scenario Benchmark for LLMs on Direct and Interactive PL/SQL Development from Natural Language
Large language models (LLMs) have shown strong potential for translating natural-language (NL) requirements into PL/SQL programs, attracting increasing attention from the database community.Cadence: Error-Bounded Lossy Compression of Demand Time Series with a Time-Series Foundation Model
We present Cadence, an error-bounded lossy compressor for numeric time series pairing a 330M-parameter time-series foundation model (Google TimesFM-3) with an adaptive arithmetic coder, guaranteeing…Concord: A Video Relational Algebra for Cross-Modal Query Optimization
Semantic video queries let users embed natural language prompts and use multimodal large language models (MLLMs) to interpret the video.Software Engineering in the Agent Era From Trustworthy Change to Human Agent Software Organizations
Software agents make digital execution elastic: repository analysis, code generation, testing, migration, tool use, and operations can be replicated and parallelized without proportional human…After Cheap Discovery: From unknown to known-and-unfixed
Automated vulnerability discovery has removed the scarcity of expert attention that protected most software.Nebulon Enterprise Simulated Threats for Phishing Research (NEST-Phish): A Synthetic Enterprise Phishing Email Dataset for Behavioral and Machine-Learning Research
Phishing remains one of the most persistent cyber threats, yet publicly shareable datasets for studying phishing in realistic enterprise email settings remain limited.Recommender System as Slow and Fast Thinkers
Sequential recommendation models are foundational to modern personalized services, yet their effectiveness varies substantially across heterogeneous user environments.ClaimReceipt: Verifying Evidence Sufficiency and Coverage in Agent Evaluations
Agent evaluations face two distinct evidentiary questions: whether a reported claim is recomputable from retained evidence (sufficiency), and whether the retained records cover the committed…FOXDEN: FAIR Services for AI-Ready Scientific Datasets
Scientific datasets are most compatible with AI workflows when they are described by rich, machine-readable metadata and provenance information, following the FAIR guiding principles.Drift-Aware LLM Routing with Sparse Contexts and Shared Budgets
A multi-model language service must route each request while preserving workload-level budgets for compute, latency, memory, or monetary cost.LEAP: Likelihood Elicitation and Aggregation for LLM-based Probabilistic Forecasting
LLM-based forecasting systems have improved on real-world tasks such as financial markets and sports outcomes, largely through stronger search and tool use.Don't You Know, Pump it Up! Investigating Cryptocurrency Manipulation in Telegram-Driven Activity
Telegram plays a pivotal role in cryptocurrency communication and has been repeatedly associated with coordinated schemes, such as pump-and-dump manipulation.Update from Hell: Can Coding Agents Survive Hidden Breakage in Dependency Upgrades?
Modern software systems rely heavily on third-party dependencies, but upgrading those dependencies remains a costly maintenance activity.Redefining Stablecoins from Nominal to Real Value: A Maximum Likelihood Approach
Stablecoins, typically pegged to fiat currencies, cannot achieve true stability because they inherit fluctuations in the underlying unit of account.MedAgent-R1: Faithfulness-Aware Reinforcement Learning for Evidence-Grounded Medical Reasoning
When medical AI systems hallucinate clinical reasoning, the consequences extend beyond incorrect answers: fabricated justifications that superficially reference retrieved evidence can mislead…Attesting Outputs and Delegation Ancestry in Multi-Agent AI Systems
Multi-agent applications delegate work across independently operated deployers.Predicting Residential Rents in Dakar Using Machine Learning
Dakar's residential rental market remains poorly documented despite its economic and social importance: 54.4% of households are renters, compared to 23.3% nationally.Developer Attitudes and Practices Towards Optimizing Software Energy Consumption
Software significantly influences the efficiency with which hardware resources are utilized, yet software energy consumption is seldom treated as a first-class concern in day-to-day development…LangBP: Language-Guided Reasoning and Acting for Joint Bidding and Pricing
Auto-bidding is a long-horizon sequential decision problem for maximizing conversion value under budget and key performance indicator (KPI) constraints.